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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2017/08/09 13:24:00 UTC
[jira] [Created] (SPARK-21677) json_tuple throws NullPointException
when column is null as string type.
Hyukjin Kwon created SPARK-21677:
------------------------------------
Summary: json_tuple throws NullPointException when column is null as string type.
Key: SPARK-21677
URL: https://issues.apache.org/jira/browse/SPARK-21677
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.3.0
Reporter: Hyukjin Kwon
Priority: Minor
I was testing {{json_tuple}} before using this to extract values from JSONs in my testing cluster but I found it could actually throw {{NullPointException}} as below sometimes:
{code}
scala> Seq(("""{"Hyukjin": 224, "John": 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Hyukjin '))").show()
+---+
| c0|
+---+
|224|
+---+
scala> Seq(("""{"Hyukjin": 224, "John": 1225}""")).toDS.selectExpr("json_tuple(value, trim(' Jackson '))").show()
+----+
| c0|
+----+
|null|
+----+
scala> Seq(("""{"Hyukjin": 224, "John": 1225}""")).toDS.selectExpr("json_tuple(value, trim(null))").show()
...
java.lang.NullPointerException
at org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:367)
at org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$foldableFieldNames$1.apply(jsonExpressions.scala:366)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.AbstractTraversable.map(Traversable.scala:104)
at org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames$lzycompute(jsonExpressions.scala:366)
at org.apache.spark.sql.catalyst.expressions.JsonTuple.foldableFieldNames(jsonExpressions.scala:365)
at org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields$lzycompute(jsonExpressions.scala:373)
at org.apache.spark.sql.catalyst.expressions.JsonTuple.constantFields(jsonExpressions.scala:373)
at org.apache.spark.sql.catalyst.expressions.JsonTuple.org$apache$spark$sql$catalyst$expressions$JsonTuple$$parseRow(jsonExpressions.scala:417)
at org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:401)
at org.apache.spark.sql.catalyst.expressions.JsonTuple$$anonfun$eval$4.apply(jsonExpressions.scala:400)
at org.apache.spark.util.Utils$.tryWithResource(Utils.scala:2559)
at org.apache.spark.sql.catalyst.expressions.JsonTuple.eval(jsonExpressions.scala:400)
{code}
It sounds we should show explicit error messages or return {{NULL}}.
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